docstr: Necessary to implement for `HybridEngineContainer`
docstr_tok: ["Necessary","to","implement","for","`","HybridEngineContainer","`"]
code: def get_lora_matched_pair(self):
      """
      Necessary to implement for `HybridEngineContainer`
      """
      (
          fc1_lora,
          fc2_lora,
          q_lora,
          k_lora,
          v_lora,
          out_lora,
      ) = self.get_lora_params()
      ret = [
          (fc1_lora, self._h4h_w),
          (fc2_lora, self._4hh_w),
          (out_lora, self.dense_w),
          (q_lora, self.qw),
          (k_lora, self.kw),
          (v_lora, self.vw),
      ]
      return ret
  
imports: from .base import *
  from .features.meta_tensor import MetaTensorContainer
  from .features.split_qkv import HybridSplitQKVContainer
  from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
  import torch
  from torch.nn.parameter import Parameter
  from ..policy import TransformerPolicy
  from ..policy import transformer_param_names
  from ..policy import maybe_copy
  from ..policy import maybe_copy_qkv
  from ..policy import maybe_get_lora
label_desc: Use image node_id 5 for calling the DS_GPTNEOContainer obj's underlying member method code with example usage: obj.get_lora_matched_pair() and returns: ret